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Train-Test Split
Data & Features

What it is

A term in data & features used in machine learning practice.

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Related terms

anomaly detection
data augmentation
data preprocessing
Feature Engineering
Feature Selection
imbalanced data
min-max scaling
missing data
normalization
one-hot encoding